Research Engineer (3D Reconstruction)

Location: On-site in London or Munich

Company

Builds generative AI and computer vision models that understand the physics and geometry of the real world to generate physically grounded 3D environments.

What you will do

• Advance 3D reconstruction from research ideas to working methods.
• Develop solutions for geometry, appearance, materials, lighting, sparse observations, dynamic scenes, and large-scale environments.
• Build and improve reconstruction methods ranging from per-scene optimization to feed-forward models.
• Implement and extend modern scene representations, including Gaussian splats and radiance fields.
• Tune losses, priors, and optimization strategies to improve fidelity, robustness, and efficiency.
• Evaluate methods on public and internal benchmarks and collaborate on production integration.

Requirements

• Bachelor’s or Master’s degree, or equivalent experience, in computer science, computer vision, graphics, or a related field.
• Deep hands-on knowledge of modern scene representations and their trade-offs.
• Experience across reconstruction methods, from per-scene optimization to feed-forward models.
• Strong understanding of multi-view geometry, camera models, and rendering.
• Experience with deep learning frameworks, large experiments, and defensible comparisons.
• Strong coding skills and the ability to implement research methods from papers.

Nice to have

• PhD or publications in 3D reconstruction.

Culture & Benefits

• Inclusive workplace welcoming people from all backgrounds, experiences, and perspectives.
• Equal opportunity employment and fair treatment throughout the recruitment process.